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Artículo

I-COMS: Interprotein-COrrelated Mutations Server

Iserte, Javier AlonsoIcon ; Simonetti, Franco LucioIcon ; Zea, Diego JavierIcon ; Teppa, Roxana ElinIcon ; Marino, Cristina EsterIcon
Fecha de publicación: 07/2015
Editorial: Oxford University Press
Revista: Nucleic Acids Research
ISSN: 0305-1048
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias de la Información y Bioinformática

Resumen

Interprotein contact prediction using multiple sequence alignments (MSAs) is a useful approach to help detect protein-protein interfaces. Different computational methods have been developed in recent years as an approximation to solve this problem. However, as there are discrepancies in the results provided by them, there is still no consensus on which is the best performing methodology. To address this problem, I-COMS (interprotein COrrelated Mutations Server) is presented. I-COMS allows to estimate covariation between residues of different proteins by four different covariation methods. It provides a graphical and interactive output that helps compare results obtained using different methods. I-COMS automatically builds the required MSA for the calculation and produces a rich visualization of either intraprotein and/or interprotein covariating positions in a circos representation. Furthermore, comparison between any two methods is available as well as the overlap between any or all four methodologies. In addition, as a complementary source of information, a matrix visualization of the corresponding scores is made available and the density plot distribution of the inter, intra and inter+intra scores are calculated. Finally, all the results can be downloaded (including MSAs, scores and graphics) for comparison and visualization and/or for further analysis.
Palabras clave: Protein-Protein Interactions , Coevolution , Covariation
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/10480
URL: http://nar.oxfordjournals.org/content/43/W1/W320
DOI: http://dx.doi.org/10.1093/nar/gkv572
Colecciones
Articulos(IIBBA)
Articulos de INST.DE INVEST.BIOQUIMICAS DE BS.AS(I)
Citación
Iserte, Javier Alonso; Simonetti, Franco Lucio; Zea, Diego Javier; Teppa, Roxana Elin; Marino, Cristina Ester; I-COMS: Interprotein-COrrelated Mutations Server; Oxford University Press; Nucleic Acids Research; 14; W1; 7-2015; W320-W325
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